AdvancedRacing.ai ---- 24 hrs Le Mans

 

Equitus.us and Wayne Taylor Racing: Enhancing LMDh GTP Performance with AI-Driven Insights

Bring Gen Ai Speed and Scale to the Track

Equitus.us can leverage its expertise in AI, machine learning, and data analytics to help Wayne TaylorEquitus.us Racing optimize their LMDh / GTP performance, particularly for the 24 Hours of Le Mans.

Challenges:

1. Complexity of Machine Pipelines: Multiple sources of machine-generated data, including sensors, logs, and telemetry data, can be difficult to integrate and analyze.

2. Sensor Optimization: Improving sensor performance is crucial for accurate data collection and decision-making.

3. Performance Optimization: Enhancing LMDh GTP performance requires a deep understanding of complex interactions between various components.

Equitus.us Solution:

1. Hyper-Convergence of Machine Pipelines:
KGNN technology can integrate multiple sources of machine-generated data, providing a unified view of the racing ecosystem.

2. Sensor Optimization: Equitus.us's EVS technology can analyze sensor data in real-time, identifying areas for improvement and optimizing sensor performance.

3. Performance Optimization: (link unavailable)'s AI-driven insights can help Wayne Taylor Racing optimize LMDh GTP performance by identifying key factors influencing performance, such as tire wear, fuel efficiency, and aerodynamics.

Benefits:

1. Improved Performance: Enhanced LMDh GTP performance, leading to better results in the 24 Hours of Le Mans.

2. Increased Efficiency: Optimized sensor performance and reduced data complexity, leading to improved decision-making and reduced costs.

3. Competitive Advantage: Unique insights and expertise provided by (link unavailable), giving Wayne Taylor Racing a competitive edge in the racing world.

Partnership Opportunities:

1. Joint Research and Development: Collaborative R&D efforts to develop new AI-driven solutions for racing performance optimization.

2. Technology Integration: Integration of Equitus.us's KGNN and EVS technologies with Wayne Taylor Racing's existing infrastructure and systems.

3. Data-Driven Insights: Shared insights and expertise to drive data-driven decision-making and performance optimization.